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KoBE: Knowledge-Based Machine Translation Evaluation ...
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Real-Time Sign Language Detection using Human Pose Estimation ...
Moryossef, Amit; Tsochantaridis, Ioannis; Aharoni, Roee. - : University of Zurich, 2020
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Real-Time Sign Language Detection using Human Pose Estimation ...
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Unsupervised Domain Clusters in Pretrained Language Models ...
Aharoni, Roee; Goldberg, Yoav. - : arXiv, 2020
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Real-Time Sign Language Detection using Human Pose Estimation
In: Moryossef, Amit; Tsochantaridis, Ioannis; Aharoni, Roee; Ebling, Sarah; Narayanan, Srini (2020). Real-Time Sign Language Detection using Human Pose Estimation. arXiv.org 04637, University of Zurich. (2020)
Abstract: We propose a lightweight real-time sign language detectionmodel, as we identify the need for such a case in videoconferencing. Weextract optical flow features based on human pose estimation and, usinga linear classifier, show these features are meaningful with an accuracyof 80%, evaluated on the Public DGS Corpus. Using a recurrent modeldirectly on the input, we see improvements of up to 91% accuracy,whilestill working under 4ms. We describe a demo application to signlanguagedetection in the browser in order to demonstrate its usage possibility invideoconferencing applications.
Keyword: 000 Computer science; 410 Linguistics; Institute of Computational Linguistics; knowledge & systems
URL: https://www.zora.uzh.ch/id/eprint/193864/
https://doi.org/10.5167/uzh-193864
https://www.zora.uzh.ch/id/eprint/193864/1/moryossef-et-al-2020.pdf
https://arxiv.org/pdf/2008.04637.pdf
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Towards String-to-Tree Neural Machine Translation ...
Aharoni, Roee; Goldberg, Yoav. - : arXiv, 2017
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